AfterShip Returns MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect AfterShip Returns through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"aftership-returns": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "AfterShip Returns Agent",
instructions:
"You help users interact with AfterShip Returns " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with AfterShip Returns?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AfterShip Returns MCP Server
Connect your AfterShip Returns account to your AI agent to unlock professional returns management and customer experience orchestration. From auditing pending return requests to approving RMAs and generating shipping labels, your agent handles your reverse logistics through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and AfterShip Returns tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Return Request Management — List and audit return requests from customers and check their approval status
- RMA Orchestration — Retrieve detailed technical metadata for specific RMAs, including item details and reasons for return
- Label Generation Support — Monitor shipment creation and retrieve tracking information for return packages
- Logistics Oversight — Mark items as received and grade their condition to streamline your warehouse workflow
- Process Insights — Quickly identify common return reasons or identify bottlenecks in your return policy directly from chat
The AfterShip Returns MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AfterShip Returns to Mastra AI via MCP
Follow these steps to integrate the AfterShip Returns MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 4 tools from AfterShip Returns via MCP
Why Use Mastra AI with the AfterShip Returns MCP Server
Mastra AI provides unique advantages when paired with AfterShip Returns through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AfterShip Returns without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every AfterShip Returns tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
AfterShip Returns + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the AfterShip Returns MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query AfterShip Returns, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed AfterShip Returns as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query AfterShip Returns on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using AfterShip Returns tools alongside other MCP servers
AfterShip Returns MCP Tools for Mastra AI (4)
These 4 tools become available when you connect AfterShip Returns to Mastra AI via MCP:
approve_return
This allows the customer to ship the item back. Authorize a pending return request to immediately trigger generating the return shipping label
get_return_details
Retrieve the granular items, return reasons, and current logistics status for a specific RMA
list_returns
Retrieve pending or historical customer return requests and their processing statuses
receive_items
Record the arrival and physical grading condition of returned items arriving at the warehouse
Example Prompts for AfterShip Returns in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with AfterShip Returns immediately.
"List all pending return requests from the last 48 hours."
"Approve return request ID 'ret_abc123'."
"Show me details for RMA number 'RMA-98765'."
Troubleshooting AfterShip Returns MCP Server with Mastra AI
Common issues when connecting AfterShip Returns to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAfterShip Returns + Mastra AI FAQ
Common questions about integrating AfterShip Returns MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect AfterShip Returns to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.